/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:236: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  ts['changed_timestamp'] = pd.to_datetime(ts['changed_timestamp'])
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:240: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  tc['changed_timestamp'] = pd.to_datetime(tc['changed_timestamp'])
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:236: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  ts['changed_timestamp'] = pd.to_datetime(ts['changed_timestamp'])
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:240: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  tc['changed_timestamp'] = pd.to_datetime(tc['changed_timestamp'])
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:236: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  ts['changed_timestamp'] = pd.to_datetime(ts['changed_timestamp'])
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:240: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  tc['changed_timestamp'] = pd.to_datetime(tc['changed_timestamp'])
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:236: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  ts['changed_timestamp'] = pd.to_datetime(ts['changed_timestamp'])
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:240: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  tc['changed_timestamp'] = pd.to_datetime(tc['changed_timestamp'])
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:236: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  ts['changed_timestamp'] = pd.to_datetime(ts['changed_timestamp'])
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:240: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  tc['changed_timestamp'] = pd.to_datetime(tc['changed_timestamp'])
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:240: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  tc['changed_timestamp'] = pd.to_datetime(tc['changed_timestamp'])
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:236: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  ts['changed_timestamp'] = pd.to_datetime(ts['changed_timestamp'])
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:240: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  tc['changed_timestamp'] = pd.to_datetime(tc['changed_timestamp'])
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:236: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  ts['changed_timestamp'] = pd.to_datetime(ts['changed_timestamp'])
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:240: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  tc['changed_timestamp'] = pd.to_datetime(tc['changed_timestamp'])
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:236: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  ts['changed_timestamp'] = pd.to_datetime(ts['changed_timestamp'])
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:240: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  tc['changed_timestamp'] = pd.to_datetime(tc['changed_timestamp'])
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:325: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  changelog_done['changed_timestamp'] = changelog_done['changed_timestamp'].apply(parse)
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:326: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  changelog_done['changed_timestamp'] = pd.to_datetime(changelog_done['changed_timestamp'], format='%Y-%m-%dT%H:%M:%S.%f%z', utc = True)
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:327: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  changelog_done['sprint_start_date'] = pd.to_datetime(changelog_done['sprint_start_date'], format='%Y-%m-%dT%H:%M:%S.%fZ', utc = True)
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:328: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  changelog_done['sprint_end_date'] = pd.to_datetime(changelog_done['sprint_end_date'], format='%Y-%m-%dT%H:%M:%S.%fZ', utc = True)
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:427: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  self.stories_completed_count_initial = stories_completed_count.append({
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:459: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  self.time_in_status_percentage_one = self.time_in_status_percentage_one.append(grand_total_percentage, ignore_index=True)
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:490: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  self.time_in_status_percentage_two = self.time_in_status_percentage_two.append(grand_total_percentage_two, ignore_index=True)
/Users/andrewpaladino/anaconda3/lib/python3.10/site-packages/numpy/lib/nanfunctions.py:1215: RuntimeWarning: Mean of empty slice
  return np.nanmean(a, axis, out=out, keepdims=keepdims)
/Users/andrewpaladino/anaconda3/lib/python3.10/site-packages/numpy/lib/nanfunctions.py:1215: RuntimeWarning: Mean of empty slice
  return np.nanmean(a, axis, out=out, keepdims=keepdims)
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:534: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  self.cycle_time_breakdown_pivot = self.cycle_time_breakdown_pivot.append(grand_total)
/Users/andrewpaladino/Documents/python/sprint_analysis/jqlv4.py:563: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  self.worked_v_completed_pivot = self.worked_v_completed_pivot.append(grand_total)